[17] Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein. Scene representation networks: Continuous 3d-structure-aware neural scene representations. NeurIPS, 32, 2019.
[18] Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger. Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision. In CVPR, pages 3504-3515, 2020.
[19] Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Basri Ronen, and Yaron Lipman. Multiview neural surface reconstruction by disentangling geometry and appearance. NeurIPS, 33:2492-2502, 2020.
[20] Matthew Tancik, Ethan Weber, Evonne Ng, Ruilong Li, Brent Yi, Justin Kerr, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, David McAllister, and Angjoo Kanazawa. Nerfstudio: A modular framework for neural radiance field development. arXiv preprint arXiv:2302.04264, 2023.
[21] Carl Schissler, Christian Loftin, and Dinesh Manocha. Acoustic classification and optimization for multi-modal rendering of real-world scenes. IEEE TVCG, 24(3):1246-1259, 2017.
[22] Dingzeyu Li, Timothy R. Langlois, and Changxi Zheng. Scene-aware audio for  $360^{\circ}$  videos. ACM TOG, 37(4), 2018.
[23] Zhenyu Tang, Rohith Aralikatti, Anton Jeran Ratnarajah, and Dinesh Manocha. Gwa: A large high-quality acoustic dataset for audio processing. In SIGGRAPH, pages 1-9, 2022.
[24] Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth. NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. In CVPR, 2021.
[25] Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang. Neural scene flow fields for space-time view synthesis of dynamic scenes. In CVPR, 2021.
[26] Chen Gao, Ayush Saraf, Johannes Kopf, and Jia-Bin Huang. Dynamic view synthesis from dynamic monocular video. In ICCV, 2021.
[27] Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard A. Newcombe, and Zhaoyang Lv. Neural 3d video synthesis from multi-view video. In CVPR, pages 5511-5521, 2022.
[28] Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, and Ziwei Liu. Sep-stereo: Visually guided stereophonic audio generation by associating source separation. In ECCV, 2020.
[29] Xudong Xu, Hang Zhou, Ziwei Liu, Bo Dai, Xiaogang Wang, and Dahua Lin. Visually informed binaural audio generation without binaural audios. In CVPR, 2021.
[30] Pedro Morgado, Nuno Vasconcelos, Timothy R. Langlois, and Oliver Wang. Self-supervised generation of spatial audio for  $360^{\circ}$  video. In NeurIPS, pages 360-370, 2018.
[31] Changan Chen, Ruohan Gao, Paul Calamia, and Kristen Grauman. Visual acoustic matching. In CVPR, 2022.
[32] V.R. Algazi, R.O. Duda, D.M. Thompson, and C. Avendano. The cipic hrtf database. In Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No.01TH8575), pages 99-102, 2001. doi: 10.1109/ASPAA.2001.969552.
[33] Changan Chen, Carl Schissler, Sanchit Garg, Philip Kobernik, Alexander Clegg, Paul Calamia, Dhruv Batra, Philip W Robinson, and Kristen Grauman. Soundspaces 2.0: A simulation platform for visual-acoustic learning. arXiv, 2022.
[34] Zhenyu Tang, Nicholas J Bryan, Dingzeyu Li, Timothy R Langlois, and Dinesh Manocha. Scene-aware audio rendering via deep acoustic analysis. IEEE TVCG, 2020.
[35] Anton Ratnarajah, Shi-Xiong Zhang, Meng Yu, Zhenyu Tang, Dinesh Manocha, and Dong Yu. Fast-rir: Fast neural diffuse room impulse response generator. In ICASSP, pages 571-575, 2022.